106 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" Postdoctoral positions at Cornell University in United States
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relativity starting in September 2026. The position requires a Ph.D. and experience in numerical relativity or computational physics. The position is for one year, with subsequent renewals depending
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• Microbiology, particularly of non-model organisms • Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data • High-throughput
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judgment to carry out discrete tasks. Excellent and detail-oriented written communication and editing skills. Valid driver’s license Supervision Exercised Position will be supervised by Dr. Richard Stedman
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, United States of America [map ] Subject Areas: Human Centered Design Information Science Fiber Science / Textile Fashion Design Salary Range: $61,008 to $87,000 Appl Deadline: (posted 2025/07/11, listed until 2026/01/11
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Fellowship Type: Postdoctoral Location: Ithaca, New York 14850, United States of America [map ] Subject Areas: Electrical Engineering and Computer Science Mechanical Engineering Aging, Community Health
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Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30970 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three references via the website
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with climate data is preferred but not required. Experience in ornithology is a bonus but not required. Supervision Exercised The postdoctoral associate will be advised by Dr. Courtney Davis, Assistant
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of the fellowship, and how to apply, please visit: https://as.cornell.edu/research/klarman-fellowships Application deadline: October 15, 2025. This employer is not accepting applications for this position through
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Accelerator program in Future Water Systems, is addressing the water and wastewater capacity needs of very small communities (<1000 persons) across the United States. VersaWater technologies are prefabricated
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, limnology or related fields. Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts